context model造句
例句与造句
- we study the context modeling in lossless image compression
研究了无损图像压缩中的context模型设计问题。 - context modeling is a key point in compression algorithm designing
context模型是无损压缩算法设计中关键部分，它对算法压缩性能至关重要。 - this algorithm is composed of the predictor and rice coding based on context modeling
该算法设计了专门的预测器和基于上下文建模的rice编码。 - below we elaborate personal networking related issues in internet protocols, context modelling, and configuration management
下面，我们展开个人网络相关的，在互联网协议，环境建模和配置管理方面的议题。 - in this second part of personal networking challenges i will address three key enablers : internet protocols, context modelling and configuration management
在个人网络挑战的第二部分，我将解决三个关键使能因素：互联网协议，环境建模和配置管理。 - It's difficult to find context model in a sentence. 用context model造句挺难的
- on the basis of chinese syntactic analysis and semantic analysis, we construct a model of chinese context, called chinese context model ( ccm )
在汉语句法分析和语义分析的基础之上，本文建立了汉语上下文语境模型ccm(chinesecontextmodel，ccm)。 - inspired by glicbawls, calic, ececow, and ezw coding schemes, a new context model of wavelet coefficients for image compression is proposed
受glicbawls、calic、ececow和ezw编码方法的启发，本文提出了一种新的用于图像压缩的小波系数的上下文模型(pcw)。 - we analysis and make comparison among several frequently adopted context models in lossless compression algorithm for image . image compression framework based on integral wavelet is proposed and implemented
本文首先介绍了相关标准及所使用的context模型，然后对连续色调??即灰度和彩色图像无损压缩中常用的context模型进行了分析讨论。 - so there ’ s a great correlation among the second bitplane . so we offered a new arithmetic coding scheme in which the design of context models is based on level and bitplane . considering the difference between luma and chroma coefficients, we will make it separately
由于abslevel=1的高概率出现,使得第二位平面具有很大的相关性,因此文中算术编码的上下文模型的设计方案主要基于level值和bitplane。 - this paper presents a algorithm that combined unary code and exp-golomb code . it switched separately in consideration of the difference between luma and chroma coefficients, instead of setting a marking bit which will bing loss at the same time, and also added some corresponding context models . it had been tested on sd, hd and cif, three types of sequence, and the bitrate had been saved by 1.24134 %, 0.10016 % and 0.16029 % on average
针对这种情况,本文引入exp-golomb码来减少较大的变换系数二值化的冗余问题,提出了一种unary码和exp-golomb码相结合的的二进制化算法,该算法避免了设立标志位所带来的附加损耗,分别针对于变换系数中的luma系数和chroma系数的概率分布特点,采取了不同的自适应切换设置,并且相应地增加了概率模型。 - inspired by typical coding schemes such as ezw, spiht, ebcot, 3d-iezw, 3d-spiht and 3d-escot, a new context model of wavelet coefficients is proposed, which make use of partial order, self-similarity between subbands of wavelet coefficients and the correlation of neighboring wavelet coefficients
受ezw、spiht、ebcot模型及3d-ezw、3d-spiht、3d-escot模型的启发，本文综合利用小波系数不同子带间的自相似性、偏序性和同子带内相邻系数的相关性，提出了一种新的三维小波嵌入编码上下文模型3d-pem。 - they all are snr scalable, and, especially ebcot is resolution scalable . these properties are essential in transmission of image on internet . because the performance of an entropy coder can be significantly improved by having the coder dynamically adapt to the current " context ", context models also have widely been adopted in image compression
基于小波的图像压缩已成为图像压缩研究的主流，一些小波系数模型也随之产生，如ezw、spiht和用于jpeg2000的ebcot，这三种模型都具有snr可扩展性质，其中ebcot还具有分辨率可扩展性质。 - there have been two type of embedded coding . the first is based on partial order and self-similarity between subbands of wavelet coefficients, which organizes the wavelet coefficients across subbands into a zerotree, while the second is based on context models, using the correlation of neighboring wavelet coefficients
目前，嵌入编码都是基于两种类型：一种是分层的嵌入编码，主要是利用小波不同子带间系数的偏序性和自相似性，将不同子带间的系数形成一棵棵树结构，通过将整棵树量化为零来减少压缩比。 - therefore, the main subject of this paper is to design a universal, low complexity, lossless and near-lossless compression algorithm for biomedical signals, fith a series of techniques, including context modeling, adaptive prediction and golomb coding, our algorithm obtains satisfactory results on various kinds of biomedical signals with low complexity of implementation
从上述考虑出发，本课题研究设计了一个通用、低复杂性的生物医学信号无损近无损压缩算法。通过采用上下文建模、自适应预测和golomb编码等一系列技术，该压缩算法对各类生物医学信号都获得了较好的压缩效果，达到了通用、低复杂性的设计要求。